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Interpretations of Probability
Interpretations of Probability
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1
One problem with the propensity interpretation of probability
It allows for too much subjectivity in assigning probabilities
Problem of calculating probabilities for one-off events
It's unclear what "propensity" means and whether it's testable
2
What is another problem with the frequentist account of probability?
Brings in too much subjectivity
Defines probability in terms of a concrete physical process
Probabilities appear to change with what we know
Is inconsistent with the axioms of probability theory
3
Name the Intepretation of Probability: Probabilities as credences
Propensity
Degree of Belief
Frequentism
Classical Statistics
4
Which intepretation of probability is dominant in contemporary scientific practice?
Frequentism
Propensity
Degree of Belief
5
Name the Intepretation of Probability: Probabilities are the physical propensities of objects
Degree of Belief
Propensity
Classical Statistics
Frequentism
6
Problem with frequentism: defines finite events in terms of hypothetical infinite repetitions that never occur
False
True
7
(On Prof. Mohseni's view), the best interpretation of probability is:
Frequentism
Degree of Belief
Propensity
Classical Statistics
8
Name another interpretation of what one's credences (degree of beliefs) are
The limit of an infinite sequence of repeated trials
Most accurate guess
Objective (graded) belief in a proposition P
9
Name the Intepretation of Probability:An event's probability is the limit of its frequency over infinite repeated trials
Degree of Belief
Propensity
Frequentism
Classical statistics
10
Name of one interpretation of what one's credences (degree of beliefs) are
Objective (graded) belief in a proposition P
One's p-value for a given hypothesis test
One's "fair price" on a gamble
11
The "degree of belief" interpretation of probability can accomodate the insights of the other two interpretations
False
True
12
What is a one problem with the frequentist account of probability?
Problem of calculating probabilities for one-off events
defines probability in terms of a concrete physical process
Brings in too much subjectivity
Never provides an adequate framework for testing probabilities
